Pandas Profiling Report

Dataset statistics

Number of variables	15
Number of observations	236142
Missing cells	52575
Missing cells (%)	1.5%
Duplicate rows	1747
Duplicate rows (%)	0.7%
Total size in memory	27.0 MiB
Average record size in memory	120.0 B

Variable types

Numeric	8
Categorical	7

Alerts

Dataset has 1747 (0.7%) duplicate rows	Duplicates
`order_date` is highly overall correlated with `coupon_usage`	High correlation
`delivery_fee` is highly overall correlated with `delivery_time_in_seconds`	High correlation
`delivery_time_in_seconds` is highly overall correlated with `delivery_fee`	High correlation
`nb_menu_items` is highly overall correlated with `restaurant_id` and 1 other fields	High correlation
`coupon_usage` is highly overall correlated with `order_date`	High correlation
`restaurant_category` is highly overall correlated with `restaurant_id` and 3 other fields	High correlation
`restaurant_type` is highly overall correlated with `restaurant_category`	High correlation
`province` is highly overall correlated with `restaurant_category`	High correlation
`restaurant_id` is highly overall correlated with `restaurant_category` and 1 other fields	High correlation
`cooking_time_in_seconds` has 25966 (11.0%) missing values	Missing
`delivery_time_in_seconds` has 20804 (8.8%) missing values	Missing
`nb_menu_items` has 5805 (2.5%) missing values	Missing
`cooking_time_in_seconds` is highly skewed (γ1 = 92.33622733)	Skewed
`delivery_time_in_seconds` is highly skewed (γ1 = 64.5824559)	Skewed
`delivery_fee` has 91802 (38.9%) zeros	Zeros
`food_price` has 6378 (2.7%) zeros	Zeros

Reproduction

Analysis started	2022-12-03 10:02:27.899026
Analysis finished	2022-12-03 10:02:43.212883
Duration	15.31 seconds
Software version	pandas-profiling vv3.5.0
Download configuration	config.json

order_date
Real number (ℝ)

Distinct	365
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	212.94699

Minimum	1
Maximum	365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	29
Q1	122
median	228
Q3	310
95-th percentile	356
Maximum	365
Range	364
Interquartile range (IQR)	188

Descriptive statistics

Standard deviation	106.79004
Coefficient of variation (CV)	0.50148649
Kurtosis	-1.1787103
Mean	212.94699
Median Absolute Deviation (MAD)	92
Skewness	-0.30514585
Sum	50285729
Variance	11404.113
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
358	1284	0.5%
363	1274	0.5%
360	1269	0.5%
359	1244	0.5%
361	1230	0.5%
335	1217	0.5%
362	1215	0.5%
356	1194	0.5%
342	1179	0.5%
320	1170	0.5%
Other values (355)	223866	94.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	398	0.2%
2	465	0.2%
3	415	0.2%
4	413	0.2%
5	396	0.2%
6	439	0.2%
7	391	0.2%
8	393	0.2%
9	423	0.2%
10	371	0.2%

Value	Count	Frequency (%)
365	1121	0.5%
364	1088	0.5%
363	1274	0.5%
362	1215	0.5%
361	1230	0.5%
360	1269	0.5%
359	1244	0.5%
358	1284	0.5%
357	1145	0.5%
356	1194	0.5%

order_day_of_week
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Saturday	35554
Sunday	35310
Friday	34420
Monday	33743
Tuesday	32735
Other values (2)	64380

Length

Max length	9
Median length	8
Mean length	7.1193816
Min length	6

Characters and Unicode

Total characters	1681185
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Monday
2nd row	Monday
3rd row	Monday
4th row	Monday
5th row	Monday

Common Values

Value	Count	Frequency (%)
Saturday	35554	15.1%
Sunday	35310	15.0%
Friday	34420	14.6%
Monday	33743	14.3%
Tuesday	32735	13.9%
Thursday	32650	13.8%
Wednesday	31730	13.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
saturday	35554	15.1%
sunday	35310	15.0%
friday	34420	14.6%
monday	33743	14.3%
tuesday	32735	13.9%
thursday	32650	13.8%
wednesday	31730	13.4%

Most occurring characters

Value	Count	Frequency (%)
a	271696	16.2%
d	267872	15.9%
y	236142	14.0%
u	136249	8.1%
r	102624	6.1%
n	100783	6.0%
s	97115	5.8%
e	96195	5.7%
S	70864	4.2%
T	65385	3.9%
Other values (7)	236260	14.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1445043	86.0%
Uppercase Letter	236142	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	271696	18.8%
d	267872	18.5%
y	236142	16.3%
u	136249	9.4%
r	102624	7.1%
n	100783	7.0%
s	97115	6.7%
e	96195	6.7%
t	35554	2.5%
i	34420	2.4%
Other values (2)	66393	4.6%

Uppercase Letter

Value	Count	Frequency (%)
S	70864	30.0%
T	65385	27.7%
F	34420	14.6%
M	33743	14.3%
W	31730	13.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1681185	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	271696	16.2%
d	267872	15.9%
y	236142	14.0%
u	136249	8.1%
r	102624	6.1%
n	100783	6.0%
s	97115	5.8%
e	96195	5.7%
S	70864	4.2%
T	65385	3.9%
Other values (7)	236260	14.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1681185	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	271696	16.2%
d	267872	15.9%
y	236142	14.0%
u	136249	8.1%
r	102624	6.1%
n	100783	6.0%
s	97115	5.8%
e	96195	5.7%
S	70864	4.2%
T	65385	3.9%
Other values (7)	236260	14.1%

order_hour
Real number (ℝ)

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.544892

Minimum	0
Maximum	23
Zeros	1345
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	11
median	14
Q3	18
95-th percentile	21
Maximum	23
Range	23
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.0859192
Coefficient of variation (CV)	0.2809178
Kurtosis	-0.10332688
Mean	14.544892
Median Absolute Deviation (MAD)	3
Skewness	-0.16435209
Sum	3434660
Variance	16.694736
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
11	27374	11.6%
12	24302	10.3%
18	21337	9.0%
13	18967	8.0%
19	18260	7.7%
17	17293	7.3%
14	16315	6.9%
10	16203	6.9%
15	14084	6.0%
16	14011	5.9%
Other values (14)	47996	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1345	0.6%
1	364	0.2%
2	195	0.1%
3	159	0.1%
4	190	0.1%
5	60	< 0.1%
6	751	0.3%
7	2147	0.9%
8	5106	2.2%
9	8959	3.8%

Value	Count	Frequency (%)
23	2902	1.2%
22	5047	2.1%
21	7983	3.4%
20	12788	5.4%
19	18260	7.7%
18	21337	9.0%
17	17293	7.3%
16	14011	5.9%
15	14084	6.0%
14	16315	6.9%

delivery_status
Categorical

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

COMPLETED	215367
CANCELED_BY_USER	10464
CANCELED_BY_RESTAURANT	7573
EXPIRED_BY_DRIVER	1941
FAILED	246
Other values (13)	551

Length

Max length	25
Median length	9
Mean length	9.8051935
Min length	6

Characters and Unicode

Total characters	2315418
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	< 0.1%

Sample

1st row	COMPLETED
2nd row	COMPLETED
3rd row	COMPLETED
4th row	COMPLETED
5th row	COMPLETED

Common Values

Value	Count	Frequency (%)
COMPLETED	215367	91.2%
CANCELED_BY_USER	10464	4.4%
CANCELED_BY_RESTAURANT	7573	3.2%
EXPIRED_BY_DRIVER	1941	0.8%
FAILED	246	0.1%
CANCELED_BY_DRIVER	233	0.1%
CANCELED_BY_CS	192	0.1%
DROP_OFF_DONE	88	< 0.1%
QUOTED	8	< 0.1%
PICK_UP_FAILED	8	< 0.1%
Other values (8)	22	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
completed	215367	91.2%
canceled_by_user	10464	4.4%
canceled_by_restaurant	7573	3.2%
expired_by_driver	1941	0.8%
failed	246	0.1%
canceled_by_driver	233	0.1%
canceled_by_cs	192	0.1%
drop_off_done	88	< 0.1%
pick_up_failed	8	< 0.1%
quoted	8	< 0.1%
Other values (8)	22	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
E	492166	21.3%
C	252506	10.9%
D	238420	10.3%
L	234083	10.1%
T	230561	10.0%
P	217416	9.4%
O	215654	9.3%
M	215368	9.3%
_	41038	1.8%
A	33885	1.5%
Other values (14)	144321	6.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2274380	98.2%
Connector Punctuation	41038	1.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	492166	21.6%
C	252506	11.1%
D	238420	10.5%
L	234083	10.3%
T	230561	10.1%
P	217416	9.6%
O	215654	9.5%
M	215368	9.5%
A	33885	1.5%
R	32049	1.4%
Other values (13)	112272	4.9%

Connector Punctuation

Value	Count	Frequency (%)
_	41038	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2274380	98.2%
Common	41038	1.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	492166	21.6%
C	252506	11.1%
D	238420	10.5%
L	234083	10.3%
T	230561	10.1%
P	217416	9.6%
O	215654	9.5%
M	215368	9.5%
A	33885	1.5%
R	32049	1.4%
Other values (13)	112272	4.9%

Common

Value	Count	Frequency (%)
_	41038	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2315418	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	492166	21.3%
C	252506	10.9%
D	238420	10.3%
L	234083	10.1%
T	230561	10.0%
P	217416	9.4%
O	215654	9.3%
M	215368	9.3%
_	41038	1.8%
A	33885	1.5%
Other values (14)	144321	6.2%

payment_method
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

CASH	191968
LINEMAN_CREDIT_CARD	23154
RLP	21020

Length

Max length	19
Median length	4
Mean length	5.3817534
Min length	3

Characters and Unicode

Total characters	1270858
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CASH
2nd row	CASH
3rd row	CASH
4th row	CASH
5th row	CASH

Common Values

Value	Count	Frequency (%)
CASH	191968	81.3%
LINEMAN_CREDIT_CARD	23154	9.8%
RLP	21020	8.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cash	191968	81.3%
lineman_credit_card	23154	9.8%
rlp	21020	8.9%

Most occurring characters

Value	Count	Frequency (%)
C	238276	18.7%
A	238276	18.7%
S	191968	15.1%
H	191968	15.1%
R	67328	5.3%
I	46308	3.6%
N	46308	3.6%
E	46308	3.6%
_	46308	3.6%
D	46308	3.6%
Other values (4)	111502	8.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1224550	96.4%
Connector Punctuation	46308	3.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	238276	19.5%
A	238276	19.5%
S	191968	15.7%
H	191968	15.7%
R	67328	5.5%
I	46308	3.8%
N	46308	3.8%
E	46308	3.8%
D	46308	3.8%
L	44174	3.6%
Other values (3)	67328	5.5%

Connector Punctuation

Value	Count	Frequency (%)
_	46308	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1224550	96.4%
Common	46308	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	238276	19.5%
A	238276	19.5%
S	191968	15.7%
H	191968	15.7%
R	67328	5.5%
I	46308	3.8%
N	46308	3.8%
E	46308	3.8%
D	46308	3.8%
L	44174	3.6%
Other values (3)	67328	5.5%

Common

Value	Count	Frequency (%)
_	46308	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1270858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	238276	18.7%
A	238276	18.7%
S	191968	15.1%
H	191968	15.1%
R	67328	5.3%
I	46308	3.6%
N	46308	3.6%
E	46308	3.6%
_	46308	3.6%
D	46308	3.6%
Other values (4)	111502	8.8%

coupon_usage
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

COUPON USED	193529
NO COUPON	42613

Length

Max length	11
Median length	11
Mean length	10.63909
Min length	9

Characters and Unicode

Total characters	2512336
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NO COUPON
2nd row	COUPON USED
3rd row	NO COUPON
4th row	NO COUPON
5th row	NO COUPON

Common Values

Value	Count	Frequency (%)
COUPON USED	193529	82.0%
NO COUPON	42613	18.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
coupon	236142	50.0%
used	193529	41.0%
no	42613	9.0%

Most occurring characters

Value	Count	Frequency (%)
O	514897	20.5%
U	429671	17.1%
N	278755	11.1%
C	236142	9.4%
P	236142	9.4%
	236142	9.4%
S	193529	7.7%
E	193529	7.7%
D	193529	7.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2276194	90.6%
Space Separator	236142	9.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	514897	22.6%
U	429671	18.9%
N	278755	12.2%
C	236142	10.4%
P	236142	10.4%
S	193529	8.5%
E	193529	8.5%
D	193529	8.5%

Space Separator

Value	Count	Frequency (%)
	236142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2276194	90.6%
Common	236142	9.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	514897	22.6%
U	429671	18.9%
N	278755	12.2%
C	236142	10.4%
P	236142	10.4%
S	193529	8.5%
E	193529	8.5%
D	193529	8.5%

Common

Value	Count	Frequency (%)
	236142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2512336	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
O	514897	20.5%
U	429671	17.1%
N	278755	11.1%
C	236142	9.4%
P	236142	9.4%
	236142	9.4%
S	193529	7.7%
E	193529	7.7%
D	193529	7.7%

delivery_fee
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	385
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.205973

Minimum	0
Maximum	1182
Zeros	91802
Zeros (%)	38.9%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	10
Q3	15
95-th percentile	73
Maximum	1182
Range	1182
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	30.912053
Coefficient of variation (CV)	1.9074482
Kurtosis	48.825425
Mean	16.205973
Median Absolute Deviation (MAD)	10
Skewness	4.8844479
Sum	3826910.9
Variance	955.55505
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	91802	38.9%
10	45572	19.3%
15	20556	8.7%
5	19845	8.4%
20	16067	6.8%
29	4262	1.8%
25	3927	1.7%
40	2885	1.2%
50	2800	1.2%
62	2538	1.1%
Other values (375)	25888	11.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	91802	38.9%
1	1010	0.4%
2	299	0.1%
3	22	< 0.1%
4	19	< 0.1%
5	19845	8.4%
6	323	0.1%
7	47	< 0.1%
8	119	0.1%
9	1234	0.5%

Value	Count	Frequency (%)
1182	1	< 0.1%
697	5	< 0.1%
691	2	< 0.1%
689	1	< 0.1%
681	9	< 0.1%
596	1	< 0.1%
585	1	< 0.1%
575	1	< 0.1%
573	1	< 0.1%
571	2	< 0.1%

food_price
Real number (ℝ)

Distinct	1814
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	196.77864

Minimum	0
Maximum	7001
Zeros	6378
Zeros (%)	2.7%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	80
median	138
Q3	230
95-th percentile	566
Maximum	7001
Range	7001
Interquartile range (IQR)	150

Descriptive statistics

Standard deviation	206.84037
Coefficient of variation (CV)	1.0511322
Kurtosis	26.920898
Mean	196.77864
Median Absolute Deviation (MAD)	65
Skewness	3.8469509
Sum	46467701
Variance	42782.937
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60	8642	3.7%
120	7056	3.0%
100	6986	3.0%
0	6378	2.7%
50	6357	2.7%
55	5532	2.3%
65	5321	2.3%
70	5306	2.2%
110	5184	2.2%
150	4836	2.0%
Other values (1804)	174544	73.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6378	2.7%
1	1	< 0.1%
9	1	< 0.1%
10	5	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
15	4	< 0.1%
18.69	2	< 0.1%
20	16	< 0.1%
24	31	< 0.1%

Value	Count	Frequency (%)
7001	1	< 0.1%
5196	1	< 0.1%
4577	1	< 0.1%
4165	1	< 0.1%
3560	1	< 0.1%
2997	1	< 0.1%
2978	1	< 0.1%
2960	1	< 0.1%
2885	2	< 0.1%
2837	1	< 0.1%

cooking_time_in_seconds
Real number (ℝ)

MISSING
SKEWED

Distinct	3366
Distinct (%)	1.6%
Missing	25966
Missing (%)	11.0%
Infinite	0
Infinite (%)	0.0%
Mean	782.58559

Minimum	0
Maximum	156541
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	258
Q1	468
median	681
Q3	980
95-th percentile	1640
Maximum	156541
Range	156541
Interquartile range (IQR)	512

Descriptive statistics

Standard deviation	612.56911
Coefficient of variation (CV)	0.78275031
Kurtosis	21350.077
Mean	782.58559
Median Absolute Deviation (MAD)	244
Skewness	92.336227
Sum	1.6448071 × 10⁸
Variance	375240.91
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
461	295	0.1%
541	289	0.1%
526	282	0.1%
556	281	0.1%
518	280	0.1%
546	279	0.1%
538	279	0.1%
613	278	0.1%
494	277	0.1%
577	276	0.1%
Other values (3356)	207360	87.8%
(Missing)	25966	11.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	2	< 0.1%
2	3	< 0.1%
3	3	< 0.1%
4	1	< 0.1%
5	3	< 0.1%
6	4	< 0.1%
7	4	< 0.1%
8	3	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
156541	1	< 0.1%
76956	1	< 0.1%
53582	1	< 0.1%
36755	1	< 0.1%
15809	1	< 0.1%
14321	1	< 0.1%
12204	1	< 0.1%
8979	1	< 0.1%
8168	1	< 0.1%
7199	1	< 0.1%

delivery_time_in_seconds
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED

Distinct	2964
Distinct (%)	1.4%
Missing	20804
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%
Mean	541.57356

Minimum	0
Maximum	101097
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	137
Q1	317
median	468
Q3	671
95-th percentile	1161
Maximum	101097
Range	101097
Interquartile range (IQR)	354

Descriptive statistics

Standard deviation	496.37308
Coefficient of variation (CV)	0.9165386
Kurtosis	10277.512
Mean	541.57356
Median Absolute Deviation (MAD)	171
Skewness	64.582456
Sum	1.1662137 × 10⁸
Variance	246386.23
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	667	0.3%
4	483	0.2%
2	459	0.2%
403	416	0.2%
375	407	0.2%
353	402	0.2%
347	399	0.2%
385	397	0.2%
335	394	0.2%
369	392	0.2%
Other values (2954)	210922	89.3%
(Missing)	20804	8.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	26	< 0.1%
2	459	0.2%
3	667	0.3%
4	483	0.2%
5	272	0.1%
6	201	0.1%
7	142	0.1%
8	135	0.1%
9	126	0.1%

Value	Count	Frequency (%)
101097	1	< 0.1%
55967	1	< 0.1%
53985	1	< 0.1%
50289	1	< 0.1%
45512	1	< 0.1%
44363	1	< 0.1%
23329	1	< 0.1%
19957	1	< 0.1%
12787	1	< 0.1%
12584	1	< 0.1%

restaurant_id
Real number (ℝ)

Distinct	200
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	98.985221

Minimum	1
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	12
Q1	55
median	104
Q3	142
95-th percentile	179
Maximum	200
Range	199
Interquartile range (IQR)	87

Descriptive statistics

Standard deviation	52.467492
Coefficient of variation (CV)	0.5300538
Kurtosis	-1.0562857
Mean	98.985221
Median Absolute Deviation (MAD)	41
Skewness	-0.12205706
Sum	23374568
Variance	2752.8378
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
158	4883	2.1%
129	4879	2.1%
75	4566	1.9%
39	4547	1.9%
123	4388	1.9%
152	4338	1.8%
174	4164	1.8%
122	4021	1.7%
55	3999	1.7%
86	3966	1.7%
Other values (190)	192391	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	617	0.3%
2	320	0.1%
3	1662	0.7%
4	1646	0.7%
5	2370	1.0%
6	854	0.4%
7	993	0.4%
8	884	0.4%
9	299	0.1%
10	372	0.2%

Value	Count	Frequency (%)
200	219	0.1%
199	897	0.4%
198	321	0.1%
197	220	0.1%
196	187	0.1%
195	216	0.1%
194	354	0.1%
193	480	0.2%
192	194	0.1%
191	839	0.4%

restaurant_category
Categorical

Distinct	33
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

À La Carte	26977
Rice Dish	24427
North East	22397
Café/Coffee Shop	20377
Noodles	20143
Other values (28)	121821

Length

Max length	28
Median length	20
Mean length	10.579338
Min length	4

Characters and Unicode

Total characters	2498226
Distinct characters	46
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rice Dish
2nd row	Rice Dish
3rd row	Delivery Only
4th row	Street Food/Food Stands
5th row	Rice Dish

Common Values

Value	Count	Frequency (%)
À La Carte	26977	11.4%
Rice Dish	24427	10.3%
North East	22397	9.5%
Café/Coffee Shop	20377	8.6%
Noodles	20143	8.5%
Thai	18977	8.0%
Bakery/Cake	11532	4.9%
Dessert	10741	4.5%
Bubble Milk Tea	8713	3.7%
Delivery Only	8409	3.6%
Other values (23)	63449	26.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
rice	30173	7.1%
à	26977	6.3%
la	26977	6.3%
carte	26977	6.3%
dish	24427	5.7%
north	22397	5.3%
east	22397	5.3%
café/coffee	20377	4.8%
shop	20377	4.8%
noodles	20143	4.7%
Other values (40)	185085	43.4%

Most occurring characters

Value	Count	Frequency (%)
e	279377	11.2%
a	205745	8.2%
	190165	7.6%
o	178387	7.1%
i	138156	5.5%
t	124111	5.0%
r	118582	4.7%
s	112057	4.5%
h	109815	4.4%
C	87113	3.5%
Other values (36)	954718	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1772415	70.9%
Uppercase Letter	479264	19.2%
Space Separator	190165	7.6%
Other Punctuation	56382	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	279377	15.8%
a	205745	11.6%
o	178387	10.1%
i	138156	7.8%
t	124111	7.0%
r	118582	6.7%
s	112057	6.3%
h	109815	6.2%
f	82106	4.6%
l	60219	3.4%
Other values (14)	363860	20.5%

Uppercase Letter

Value	Count	Frequency (%)
C	87113	18.2%
S	53705	11.2%
N	52307	10.9%
D	43577	9.1%
L	32723	6.8%
T	31115	6.5%
R	30173	6.3%
B	29950	6.2%
À	26977	5.6%
E	22397	4.7%
Other values (10)	69227	14.4%

Space Separator

Value	Count	Frequency (%)
	190165	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	56382	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2251679	90.1%
Common	246547	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	279377	12.4%
a	205745	9.1%
o	178387	7.9%
i	138156	6.1%
t	124111	5.5%
r	118582	5.3%
s	112057	5.0%
h	109815	4.9%
C	87113	3.9%
f	82106	3.6%
Other values (34)	816230	36.2%

Common

Value	Count	Frequency (%)
	190165	77.1%
/	56382	22.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2450872	98.1%
None	47354	1.9%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	279377	11.4%
a	205745	8.4%
	190165	7.8%
o	178387	7.3%
i	138156	5.6%
t	124111	5.1%
r	118582	4.8%
s	112057	4.6%
h	109815	4.5%
C	87113	3.6%
Other values (34)	907364	37.0%

None

Value	Count	Frequency (%)
À	26977	57.0%
é	20377	43.0%

restaurant_type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

NON-CHAIN	194085
CHAIN_RESTAURANT	42057

Length

Max length	16
Median length	9
Mean length	10.246703
Min length	9

Characters and Unicode

Total characters	2419677
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NON-CHAIN
2nd row	CHAIN_RESTAURANT
3rd row	NON-CHAIN
4th row	NON-CHAIN
5th row	NON-CHAIN

Common Values

Value	Count	Frequency (%)
NON-CHAIN	194085	82.2%
CHAIN_RESTAURANT	42057	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
non-chain	194085	82.2%
chain_restaurant	42057	17.8%

Most occurring characters

Value	Count	Frequency (%)
N	666369	27.5%
A	320256	13.2%
C	236142	9.8%
H	236142	9.8%
I	236142	9.8%
O	194085	8.0%
-	194085	8.0%
R	84114	3.5%
T	84114	3.5%
_	42057	1.7%
Other values (3)	126171	5.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2183535	90.2%
Dash Punctuation	194085	8.0%
Connector Punctuation	42057	1.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	666369	30.5%
A	320256	14.7%
C	236142	10.8%
H	236142	10.8%
I	236142	10.8%
O	194085	8.9%
R	84114	3.9%
T	84114	3.9%
E	42057	1.9%
S	42057	1.9%

Dash Punctuation

Value	Count	Frequency (%)
-	194085	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	42057	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2183535	90.2%
Common	236142	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	666369	30.5%
A	320256	14.7%
C	236142	10.8%
H	236142	10.8%
I	236142	10.8%
O	194085	8.9%
R	84114	3.9%
T	84114	3.9%
E	42057	1.9%
S	42057	1.9%

Common

Value	Count	Frequency (%)
-	194085	82.2%
_	42057	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2419677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	666369	27.5%
A	320256	13.2%
C	236142	9.8%
H	236142	9.8%
I	236142	9.8%
O	194085	8.0%
-	194085	8.0%
R	84114	3.5%
T	84114	3.5%
_	42057	1.7%
Other values (3)	126171	5.2%

province
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Bangkok	126936
Pathum Thani	30071
Samut Prakan	28624
Nonthaburi	28482
Samut Sakhon	14972

Length

Max length	13
Median length	7
Mean length	9.100952
Min length	7

Characters and Unicode

Total characters	2149117
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nakhon Pathom
2nd row	Bangkok
3rd row	Bangkok
4th row	Samut Sakhon
5th row	Nakhon Pathom

Common Values

Value	Count	Frequency (%)
Bangkok	126936	53.8%
Pathum Thani	30071	12.7%
Samut Prakan	28624	12.1%
Nonthaburi	28482	12.1%
Samut Sakhon	14972	6.3%
Nakhon Pathom	7057	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
bangkok	126936	40.1%
samut	43596	13.8%
pathum	30071	9.5%
thani	30071	9.5%
prakan	28624	9.0%
nonthaburi	28482	9.0%
sakhon	14972	4.7%
nakhon	7057	2.2%
pathom	7057	2.2%

Most occurring characters

Value	Count	Frequency (%)
a	345490	16.1%
k	304525	14.2%
n	236142	11.0%
o	184504	8.6%
B	126936	5.9%
g	126936	5.9%
h	117710	5.5%
t	109206	5.1%
u	102149	4.8%
m	80724	3.8%
Other values (8)	414795	19.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1751527	81.5%
Uppercase Letter	316866	14.7%
Space Separator	80724	3.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	345490	19.7%
k	304525	17.4%
n	236142	13.5%
o	184504	10.5%
g	126936	7.2%
h	117710	6.7%
t	109206	6.2%
u	102149	5.8%
m	80724	4.6%
i	58553	3.3%
Other values (2)	85588	4.9%

Uppercase Letter

Value	Count	Frequency (%)
B	126936	40.1%
P	65752	20.8%
S	58568	18.5%
N	35539	11.2%
T	30071	9.5%

Space Separator

Value	Count	Frequency (%)
	80724	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2068393	96.2%
Common	80724	3.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	345490	16.7%
k	304525	14.7%
n	236142	11.4%
o	184504	8.9%
B	126936	6.1%
g	126936	6.1%
h	117710	5.7%
t	109206	5.3%
u	102149	4.9%
m	80724	3.9%
Other values (7)	334071	16.2%

Common

Value	Count	Frequency (%)
	80724	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2149117	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	345490	16.1%
k	304525	14.2%
n	236142	11.0%
o	184504	8.6%
B	126936	5.9%
g	126936	5.9%
h	117710	5.5%
t	109206	5.1%
u	102149	4.8%
m	80724	3.8%
Other values (8)	414795	19.3%

nb_menu_items
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	111
Distinct (%)	< 0.1%
Missing	5805
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	85.563557

Minimum	1
Maximum	969
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	8
Q1	34
median	61
Q3	106
95-th percentile	301
Maximum	969
Range	968
Interquartile range (IQR)	72

Descriptive statistics

Standard deviation	82.752999
Coefficient of variation (CV)	0.9671524
Kurtosis	18.17982
Mean	85.563557
Median Absolute Deviation (MAD)	36
Skewness	2.8469687
Sum	19708453
Variance	6848.0588
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61	9629	4.1%
41	7434	3.1%
118	7413	3.1%
65	6984	3.0%
21	6755	2.9%
58	6281	2.7%
46	5636	2.4%
63	5092	2.2%
38	4868	2.1%
25	4666	2.0%
Other values (101)	165579	70.1%
(Missing)	5805	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1524	0.6%
2	210	0.1%
3	567	0.2%
4	1216	0.5%
5	4391	1.9%
6	1313	0.6%
7	1534	0.6%
8	1858	0.8%
9	564	0.2%
10	1228	0.5%

Value	Count	Frequency (%)
969	313	0.1%
316	4566	1.9%
310	1989	0.8%
308	4164	1.8%
301	1180	0.5%
281	365	0.2%
258	2391	1.0%
232	2018	0.9%
219	652	0.3%
208	1646	0.7%

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:

Variable_type-Variable_type : Method, Range
Categorical-Categorical : Cramer's V, [0,1]
Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
Numerical-Numerical : Spearman's ρ, [-1,1]

The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	order_date	order_day_of_week	order_hour	delivery_status	payment_method	coupon_usage	delivery_fee	food_price	cooking_time_in_seconds	delivery_time_in_seconds	restaurant_id	restaurant_category	restaurant_type	province	nb_menu_items
0	1	Monday	12	COMPLETED	CASH	NO COUPON	10.0	100.0	424.0	691.0	63	Rice Dish	NON-CHAIN	Nakhon Pathom	14.0
1	1	Monday	11	COMPLETED	CASH	COUPON USED	75.0	0.0	NaN	285.0	70	Rice Dish	CHAIN_RESTAURANT	Bangkok	66.0
2	1	Monday	9	COMPLETED	CASH	NO COUPON	0.0	130.0	345.0	602.0	106	Delivery Only	NON-CHAIN	Bangkok	15.0
3	1	Monday	18	COMPLETED	CASH	NO COUPON	20.0	80.0	710.0	367.0	27	Street Food/Food Stands	NON-CHAIN	Samut Sakhon	14.0
4	1	Monday	8	COMPLETED	CASH	NO COUPON	10.0	60.0	659.0	717.0	63	Rice Dish	NON-CHAIN	Nakhon Pathom	14.0
5	1	Monday	18	COMPLETED	CASH	NO COUPON	20.0	414.0	724.0	1222.0	33	Chinese	NON-CHAIN	Bangkok	23.0
6	1	Monday	9	COMPLETED	CASH	NO COUPON	0.0	60.0	950.0	3.0	27	Street Food/Food Stands	NON-CHAIN	Samut Sakhon	14.0
7	1	Monday	11	COMPLETED	CASH	NO COUPON	0.0	160.0	560.0	984.0	63	Rice Dish	NON-CHAIN	Nakhon Pathom	14.0
8	1	Monday	11	COMPLETED	CASH	NO COUPON	0.0	225.0	491.0	976.0	27	Street Food/Food Stands	NON-CHAIN	Samut Sakhon	14.0
9	1	Monday	14	COMPLETED	RLP	NO COUPON	10.0	100.0	1117.0	412.0	123	Rice Dish	NON-CHAIN	Pathum Thani	21.0

	order_date	order_day_of_week	order_hour	delivery_status	payment_method	coupon_usage	delivery_fee	food_price	cooking_time_in_seconds	delivery_time_in_seconds	restaurant_id	restaurant_category	restaurant_type	province	nb_menu_items
236132	365	Monday	17	COMPLETED	CASH	COUPON USED	94.0	860.0	1163.0	1412.0	26	Thai	NON-CHAIN	Bangkok	179.0
236133	365	Monday	11	CANCELED_BY_USER	CASH	COUPON USED	81.0	1100.0	NaN	NaN	26	Thai	NON-CHAIN	Bangkok	179.0
236134	365	Monday	13	COMPLETED	CASH	COUPON USED	0.0	50.0	346.0	335.0	85	Street Food/Food Stands	NON-CHAIN	Bangkok	8.0
236135	365	Monday	22	COMPLETED	CASH	COUPON USED	0.0	55.0	523.0	276.0	183	Thai	NON-CHAIN	Pathum Thani	23.0
236136	365	Monday	14	COMPLETED	CASH	COUPON USED	0.0	80.0	414.0	248.0	98	Bubble Milk Tea	NON-CHAIN	Bangkok	25.0
236137	365	Monday	15	COMPLETED	CASH	COUPON USED	137.0	960.0	1464.0	1403.0	26	Thai	NON-CHAIN	Bangkok	179.0
236138	365	Monday	14	COMPLETED	CASH	COUPON USED	0.0	50.0	207.0	401.0	85	Street Food/Food Stands	NON-CHAIN	Bangkok	8.0
236139	365	Monday	17	COMPLETED	CASH	COUPON USED	25.0	326.0	926.0	658.0	40	Steak House/Barbeque	NON-CHAIN	Nonthaburi	119.0
236140	365	Monday	17	COMPLETED	CASH	COUPON USED	0.0	240.0	709.0	497.0	185	North East	NON-CHAIN	Bangkok	41.0
236141	365	Monday	11	COMPLETED	CASH	COUPON USED	0.0	50.0	287.0	620.0	85	Street Food/Food Stands	NON-CHAIN	Bangkok	8.0

Most frequently occurring

	order_date	order_day_of_week	order_hour	delivery_status	payment_method	coupon_usage	delivery_fee	food_price	cooking_time_in_seconds	delivery_time_in_seconds	restaurant_id	restaurant_category	restaurant_type	province	nb_menu_items	# duplicates
397	115	Wednesday	16	EXPIRED_BY_DRIVER	CASH	COUPON USED	0.0	99.0	NaN	NaN	12	Bakery/Cake	CHAIN_RESTAURANT	Bangkok	21.0	20
914	197	Monday	20	CANCELED_BY_USER	CASH	COUPON USED	107.0	0.0	NaN	NaN	17	Moo Kata	NON-CHAIN	Bangkok	25.0	17
390	115	Wednesday	16	CANCELED_BY_USER	CASH	COUPON USED	0.0	99.0	NaN	NaN	12	Bakery/Cake	CHAIN_RESTAURANT	Bangkok	21.0	10
391	115	Wednesday	16	CANCELED_BY_USER	CASH	COUPON USED	10.0	99.0	NaN	NaN	12	Bakery/Cake	CHAIN_RESTAURANT	Bangkok	21.0	9
448	119	Sunday	23	CANCELED_BY_USER	CASH	COUPON USED	10.0	70.0	NaN	NaN	79	Rice Dish	NON-CHAIN	Samut Prakan	160.0	9
399	115	Wednesday	16	EXPIRED_BY_DRIVER	CASH	COUPON USED	10.0	99.0	NaN	NaN	12	Bakery/Cake	CHAIN_RESTAURANT	Bangkok	21.0	8
977	215	Friday	10	CANCELED_BY_USER	CASH	COUPON USED	35.0	145.0	NaN	NaN	91	Café/Coffee Shop	CHAIN_RESTAURANT	Bangkok	81.0	8
501	124	Friday	19	CANCELED_BY_USER	CASH	COUPON USED	10.0	55.0	NaN	NaN	70	Rice Dish	CHAIN_RESTAURANT	Bangkok	66.0	7
1202	295	Monday	11	CANCELED_BY_USER	CASH	COUPON USED	29.0	350.0	NaN	NaN	149	Bakery/Cake	NON-CHAIN	Bangkok	42.0	7
245	75	Friday	19	CANCELED_BY_USER	CASH	NO COUPON	50.0	110.0	NaN	NaN	122	Northern Food	NON-CHAIN	Bangkok	38.0	6

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Common Values (Plot)